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Software Engineering Manager

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dbt Labs

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

180000.00 - 220000.00 USD / Year
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Job Description:

You'll lead the AI Platform Team, the engine room for agentic workflows at dbt Labs. This team doesn't just build features; it builds the Agentic Platform that powers both our internal AI features and external AI integrations.

Job Responsibility:

  • Build, lead, and coach a team of 5–8 engineers focused on building a robust, scalable platform for AI agents
  • Architect the "Agent-First" Experience: Move dbt beyond a UI-driven tool by building the APIs and services required for agents to reason, plan, and execute within the dbt ecosystem
  • Define dbt's MCP Strategy: Lead the development of dbt MCP tools that allow Claude, Codex, and other LLMs to fetch context, validate SQL, and understand metrics without leaving their development environment
  • Bridge Platform and Product: Partner with product teams to ensure that the AI Platform provides the necessary primitives (memory, tool-calling, and reasoning loops) for dbt's specific agentic use cases
  • Coach engineers in building "Agent-ready" codebases—focusing on deterministic outputs from a non-deterministic world and the nuances of tool-use optimization
  • Drive Technical Excellence: Establish the standards for how agents should interact with dbt Cloud, ensuring security, governance, and auditability are never compromised for autonomy

Requirements:

  • 3+ years in people management leading high-performing software engineering teams
  • Experience with Agentic Architectures: You understand the lifecycle of an agentic loop (Plan -> Act -> Observe) and how to build infrastructure that supports it
  • Technical Breadth in APIs & Protocols: Deep experience with API design, and ideally, familiarity with emerging standards like MCP (Model Context Protocol) or OpenAI Function Calling
  • Software Engineering Fundamentals: You have a strong POV on how to maintain dbt's "Analytics Engineering" rigors (testing, CI/CD) in an AI-driven world

Nice to have:

  • A passion for Developer Tools: You understand the workflow of a data engineer and how tools like Claude Code or Codex are changing that workflow
  • Experience with Orchestration: You've built systems that manage state and context for LLMs
  • Strategic Collaboration: You can partner with external AI labs and internal teams to ensure dbt is the preferred "data context" layer for all major LLMs
  • Direct experience building or contributing to MCP servers
  • Experience in the "Modern Data Stack": You understand the importance of the dbt Semantic Layer and how it acts as a "source of truth" for AI
  • Excellent written communication skills: Essential for a remote-first culture and for documenting the "rules of engagement" for AI agents
What we offer:
  • Unlimited vacation
  • 401k w/3% guaranteed contribution
  • Excellent healthcare
  • Paid Parental Leave
  • Wellness stipend
  • Home office stipend

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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